reduce_egrid: Reduce a dataset into a grid.

In hadley/linval: Explore linear models with grids of predictors.

Description

reduce_egrid makes a grid with equal width bins, reduce_qgrid makes a grid with bins containing equal numbers of points, reduce_extremes captures just the minimum and maximum of each variable. Categorical variables are always preserved.

Usage

reduce_egrid(data, bins = 5, breaks = list(), n_max = 1e+05)

reduce_qgrid(data, bins = 5, breaks = list(), n_max = 1e+05)

reduce_extremes(data, breaks = list(), n_max = 1e+05)

Arguments

data	input data
bin	number of bins for each variable
breaks	a named list. Use this to supply custom breaks for individual variables
n_max	Maximum number of rows to create (used to product against accidentally creating excessively large outputs).

Examples

reduce_egrid(diamonds[1:3], bins = 4)
reduce_qgrid(diamonds[1:3], bins = 4)
reduce_extremes(diamonds[1:3])

hadley/linval documentation built on May 17, 2019, 10:42 a.m.